An open-source application for atomic structure analysis from powder diffraction data. This application can calculate atomic coordinates, valence sums, and chemical bonds from diffraction data of crystals, nanostructures, and amorphous materials. It is written in Python, and realizes multi-functional fitting and flexible data analysis.
Python/C++ based software package that employs deep learning techniques for construction of interatomic potentials. It implements the Deep Potential, which defines atomic environment descriptors with respect to a local reference frame. The output of many first-principles and molecular dynamics applications can be used as training data, and the trained potentials can be used for molecular dynamics calculations using LAMMPS and path integral molecular dynamics calculations using i-PI.
An open source application to simulate crystal structures and to calculate and refine against diffraction pattern and the pair distribution function. A special emphasis placed is on the simulation of materials with disorder and the package provides many tools to create and distribute defects throughout the crystal. Another strong feature is the simulation of nanoparticles.
Open-source software for analyzing scientific data. DAWN can visualize data in various dimensions, from 1D to 3D, and it is also possible to create maps that plot different types of data. It can not only visualize data, but also process data, such as fitting for peak detection. It supports general data formats such as text files and HDF5, as well as data formats such as NeXus, which is used in X-ray experiments.
An application for DFTB (Density Functional Tight Binding) calculation combined with Divide-and-Conquer (DC) method. The DC-DFTB-K program enables geometry optimization and molecular dynamics simulation of large molecular systems with linear-scaling computational cost. DFTB electronic structure calculation of 1 million atom system has been demonstrated using MPI/OpenMP hybrid parallel computation on the K computer.
DDMRG (DynamicalDMRG) is a program for analyzing the dynamical properties of one-dimensional electron systems by using the density matrix renormalization group method. It simulates excited or photo-induced quantum phenomena in Mott insulators, spin-Peierls materials, organic materials, etc. Parallel computational procedures for linear and non-linear responses in low dimensional electron systems and analyzing routines for relaxation processes of excited states induced by photo-irradiation are available.
An application for first-principles calculation based on density functional theory. This application is included in Material Sudio, and can evaluate electronic states and properties of various physical systems such as molecules, atomic clusters, crystals, and solid surfaces based on the all-electron method and the pseudopotential method. It can also be applied to evaluation of the chemical reaction such as catalysis and combustion reaction, and is optimized for large-scale parallel computing.